A three-layer co-design optimization using digital twins and surrogate modeling for CDU partitioning and flow control in HPC cooling plants achieves 35.48% annual energy savings, nearly matching the current Frontier design while reducing assignment sensitivity by 93%.
Energy dataset of Frontier supercomputer for waste heat recovery
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Large language models can generate custom scripts for scientific instrument control and extend into autonomous AI agents that operate equipment and refine strategies without constant human input.
citing papers explorer
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Co-Design Optimization for Data Center Cooling System via Digital Twin
A three-layer co-design optimization using digital twins and surrogate modeling for CDU partitioning and flow control in HPC cooling plants achieves 35.48% annual energy savings, nearly matching the current Frontier design while reducing assignment sensitivity by 93%.
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Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
Large language models can generate custom scripts for scientific instrument control and extend into autonomous AI agents that operate equipment and refine strategies without constant human input.